[all-commits] [llvm/llvm-project] 100486: [mlir][Vector] Support 0-d vectors natively in Tra...

[Kunwar Grover via All-commits]

  Branch: refs/heads/main
  Home:   https://github.com/llvm/llvm-project
  Commit: 1004865f1ca41a9581da8747f34b29862d3ebc3d
      https://github.com/llvm/llvm-project/commit/1004865f1ca41a9581da8747f34b29862d3ebc3d
  Author: Kunwar Grover <groverkss at gmail.com>
  Date:   2024-10-22 (Tue, 22 Oct 2024)

  Changed paths:
    M mlir/lib/Dialect/Vector/Transforms/LowerVectorTransfer.cpp
    M mlir/test/Conversion/VectorToSCF/vector-to-scf.mlir
    M mlir/test/Dialect/Linalg/vectorize-tensor-extract.mlir
    M mlir/test/Dialect/Vector/vector-transfer-to-vector-load-store.mlir

  Log Message:
  -----------
  [mlir][Vector] Support 0-d vectors natively in TransferOpReduceRank (#112907)

Since
https://github.com/llvm/llvm-project/commit/ddf2d62c7dddf1e4a9012d96819ff1ed005fbb05
, 0-d vectors are supported in VectorType. This patch removes 0-d vector
handling with scalars for the TransferOpReduceRank pattern. This pattern
specifically introduces tensor.extract_slice during vectorization,
causing vectorization to not fold transfer_read/transfer_write slices
properly. The changes in vectorization test files reflect this.

There are other places where lowering patterns are still side-stepping
from handling 0-d vectors properly, by turning them into scalars, but
this patch only focuses on the vector.transfer_x patterns.



To unsubscribe from these emails, change your notification settings at https://github.com/llvm/llvm-project/settings/notifications